system

Abstract

An object of a system according to an embodiment is to make it easy for a person considering relocation to make a specific relocation plan.SOLUTION: A system includes a migration consultation generation AI, a generation AI, and a moving image generation AI. The migration consultation generation AI provides an answer to a question or a desire of the migration considering person. The Creation AI creates a script based on the reply contents provided by the Move-to Consultation Creation AI. The animation generation AI creates a personalized PR animation based on the script created by the generation AI.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, when people considering relocating made specific relocation plans, it was difficult to gather information and put the plans into practice.

[0005] The system according to the embodiment aims to make it easier for people considering relocating to make specific relocation plans. [Means for solving the problem]

[0006] The system according to the embodiment includes a relocation consultation generation AI, a generation AI, and a video generation AI. The relocation consultation generation AI provides answers to questions and requests from people considering relocating. The generation AI creates a script based on the answers provided by the relocation consultation generation AI. The video generation AI creates a personalized promotional video based on the script created by the generation AI. [Effects of the Invention]

[0007] The system according to the embodiment can make it easier for people considering relocating to make specific relocation plans. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The relocation plan support system according to an embodiment of the present invention is a system that uses a generative AI to enable people considering relocation to concretize their relocation plans and create a personalized promotional video to persuade their families about the plans. As a result, the relocation plan support system enables people considering relocation to make specific relocation plans and effectively communicate them to their families.

[0029] The relocation plan support system according to the embodiment includes a relocation consultation generation AI, a generation AI, and a video generation AI. The relocation consultation generation AI provides answers to questions and requests from those considering relocation. For example, the relocation consultation generation AI provides appropriate advice and information in response to questions from those considering relocation. The relocation consultation generation AI can also provide information about relocation destinations based on the requests of those considering relocation. The relocation consultation generation AI can also provide information about relocation procedures and necessary documents. The generation AI creates a script based on the answers provided by the relocation consultation generation AI. For example, the generation AI generates a script including the benefits of relocation, specific plans, and the attractions of the relocation destination. The generation AI can also create a scenario for those considering relocation to explain their relocation plans to their families. The generation AI can also reflect information about the living environment and educational institutions of the relocation destination in the script. The video generation AI creates a personalized promotional video based on the script created by the generation AI. For example, the video generation AI generates a video that visually depicts the scenery and living environment of the relocation destination. The video generation AI can also create a video that visually conveys the benefits of relocation and specific plans. The video generation AI can also create videos that highlight the appeal of the relocation destination. As a result, the relocation plan support system according to the embodiment allows people considering relocation to make specific relocation plans and effectively communicate them to their families. For example, visually conveying the appeal of the relocation destination makes it easier to gain the understanding and cooperation of family members. Furthermore, understanding specific information and procedures related to relocation allows relocation plans to proceed smoothly.

[0030] The relocation consultation generation AI can learn from the past consultation history and behavioral patterns of those considering relocating, and provide more personalized advice. For example, the relocation consultation generation AI stores the past consultation content and behavioral patterns of those considering relocating in a database, and the generation AI learns from them. For example, it can provide more appropriate advice based on which areas the person was interested in in the past and what questions they asked. The relocation consultation generation AI can also analyze the behavioral patterns of those considering relocating, and provide information that is useful for selecting a relocation destination and formulating a relocation plan. The relocation consultation generation AI can also provide specific advice about relocation based on the past consultation history of those considering relocating. This allows it to provide more appropriate advice to those considering relocating.

[0031] The relocation consultation generation AI can analyze the lifestyles and values ​​of those considering relocating and make recommendations for areas based on that. For example, the relocation consultation generation AI collects information about the lifestyles and values ​​of those considering relocating through questionnaires and interviews, and then analyzes it. For example, it can recommend areas rich in nature to people who love the outdoors. The relocation consultation generation AI can also provide information that is useful for selecting a relocation destination and formulating a relocation plan based on the values ​​of those considering relocating. The relocation consultation generation AI can also provide information about the living environment and educational institutions in the relocation destination based on the lifestyle of those considering relocating. This allows it to recommend the most suitable area to those considering relocating.

[0032] The relocation consultation generation AI can collect the opinions of all family members of a person considering relocating and propose a relocation plan that everyone can agree on. For example, the relocation consultation generation AI can conduct a survey of all family members of a person considering relocating and collect each person's opinions and wishes. For example, it can propose a relocation plan that takes into account the children's educational environment and the spouse's work environment. The relocation consultation generation AI can also provide information that is useful for planning a relocation plan and selecting a relocation destination based on the opinions of all family members. The relocation consultation generation AI can also reflect the opinions and wishes of each member in order to propose a relocation plan that everyone can agree on. This makes it possible to propose a relocation plan that everyone in the family can agree on.

[0033] The relocation consultation generation AI can support online interactions with local residents of the relocation destination and provide real-life information about the local area. For example, the relocation consultation generation AI can provide a platform for online interactions with local residents of the relocation destination, allowing those considering relocating to ask questions or seek advice directly. For example, it can provide information about the local living environment and culture. The relocation consultation generation AI can also collect real-life information about the relocation destination through online interactions with local residents and provide it to those considering relocating. The relocation consultation generation AI can also support interactions with local residents of the relocation destination, allowing those considering relocating to obtain real-life information about the local area. This allows those considering relocating to obtain real-life information about the local area.

[0034] The generation AI can learn from the past statements and actions of those considering relocating and create a more persuasive script. For example, the generation AI stores the past statements and actions of those considering relocating in a database, and the generation AI learns from them. For example, it can create a persuasive script based on the reasons why people have considered relocating in the past. The generation AI can also analyze the behavioral patterns of those considering relocating and provide information that is useful for formulating relocation plans and selecting relocation destinations. The generation AI can also create specific scripts related to relocation based on the past statements of those considering relocating. This makes it possible to create a more persuasive script for those considering relocating.

[0035] The generation AI can create a script that incorporates the latest news and trend information for the relocation destination. For example, the generation AI can automatically collect the latest news and trend information for the relocation destination and create a script based on that information. For example, it can incorporate information on recent events and new facilities. The generation AI can also provide information that is useful for planning a relocation or selecting a relocation destination based on trend information for the relocation destination. The generation AI can also create a specific script related to relocation based on the latest news for the relocation destination. This allows the creation of a script that reflects the latest information on the relocation destination.

[0036] The generation AI can create multiple scripts from different scenarios and perspectives, and select the optimal script based on the family's reactions. For example, the generation AI can create multiple scripts from different scenarios and perspectives, and select the optimal script based on the family's reactions. For example, it can prepare a scenario that emphasizes economic benefits and another that emphasizes the living environment. The generation AI can also provide information that is useful for planning a relocation and selecting a relocation destination based on the family's reactions. The generation AI can also create specific scripts related to relocation based on scripts from different scenarios and perspectives. This allows the optimal script to be selected based on the family's reactions.

[0037] The generative AI can create a script that incorporates the culture and customs of the destination, allowing the family to feel familiar with the new place. For example, the generative AI can research the culture and customs of the destination and reflect them in the script. For example, it can introduce local traditional events and food culture. The generative AI can also provide information that is useful for planning a relocation and selecting a new place, based on the culture and customs of the destination. The generative AI can also create a specific script related to the relocation, based on the culture and customs of the destination. This allows the family to feel familiar with the new place.

[0038] Video generation AI can create videos that incorporate seasonal scenery and events at the destination, conveying the destination's appeal from multiple angles. For example, video generation AI can film seasonal scenery at the destination and incorporate it into videos. For example, it can introduce beautiful seasonal scenery such as cherry blossoms in spring and autumn leaves. Video generation AI can also film events at the destination and incorporate them into videos. For example, it can introduce local festivals and cultural events. Video generation AI can also create specific videos related to relocation based on seasonal scenery and events at the destination. This makes it possible to create videos that convey the destination's appeal from multiple angles.

[0039] Video generation AI can create personalized videos that incorporate photos and videos of the family of those considering relocating. For example, video generation AI can incorporate photos and videos of the family of those considering relocating into the video to create a personalized promotional video. For example, it can use photos and videos of family memories to help imagine life in the new destination. Video generation AI can also provide information that is useful for planning a relocation or selecting a destination based on family photos and videos. Video generation AI can also create specific videos related to relocation based on family photos and videos. This makes it possible to create personalized videos that incorporate family photos and videos.

[0040] Video generation AI can create videos that incorporate interviews and messages from local residents of the relocation destination, allowing it to convey the real voices of the locals. For example, video generation AI can interview local residents of the relocation destination and incorporate the content into the video. For example, it can include a scene in which local residents send a welcome message to the relocation recipients. Video generation AI can also provide information that is useful for planning relocation and selecting a relocation destination based on the interviews and messages of local residents. Video generation AI can also create specific videos related to relocation based on the interviews and messages of local residents. This makes it possible to create videos that convey the real voices of the locals.

[0041] Video generation AI can create videos introducing educational institutions and medical facilities in the relocation destination, thereby increasing a sense of security for families. For example, video generation AI can create videos introducing educational institutions and medical facilities in the relocation destination, thereby increasing a sense of security for families. For example, scenes introducing the facilities and services of schools and hospitals can be incorporated into the video. Furthermore, video generation AI can provide information useful for planning relocation and selecting a relocation destination based on introductions to educational institutions and medical facilities. Furthermore, video generation AI can create specific videos related to relocation based on introductions to educational institutions and medical facilities. This makes it possible to create videos that increase a sense of security for families.

[0042] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0043] The relocation consultation generation AI can also suggest areas that take into account the health condition and medical needs of those considering relocating. For example, it can suggest areas with fewer allergens for people with specific allergies. It can also suggest areas with a good number of medical facilities for people with chronic diseases. Furthermore, the relocation consultation generation AI can provide information on the health impact of the climate and environment of the relocation destination based on the health condition of the person considering relocating. This allows people considering relocating to select the area that best suits their health condition.

[0044] The relocation consultation generation AI can also suggest areas that take into account the hobbies and interests of those considering relocating. For example, for those who like outdoor activities, it can suggest areas where they can enjoy hiking and camping. For those who are interested in culture and the arts, it can also suggest areas with many art museums and theaters. Furthermore, the relocation consultation generation AI can provide information about local events and activities based on the hobbies and interests of those considering relocating. This allows those considering relocating to select an area that suits their hobbies and interests.

[0045] The relocation consultation generation AI can also suggest areas that take into account the needs of potential relocators' pets. For example, it can suggest areas with many pet-friendly parks and facilities. It can also suggest areas with a good number of veterinary clinics that can easily manage pet health. Furthermore, the relocation consultation generation AI can provide information about pet-friendly housing and environments based on the needs of potential relocators' pets. This allows potential relocators to select areas where they can live comfortably with their pets.

[0046] The relocation consultation generation AI can also suggest regions that take into account the career and occupational needs of those considering relocation. For example, it can suggest regions that are strong in specific industries or occupations. It can also suggest regions with infrastructure that facilitates remote work. Furthermore, the relocation consultation generation AI can provide information about regional employment opportunities and business environments based on the career and occupational needs of those considering relocation. This allows those considering relocation to select the region that best suits their career and occupation.

[0047] The relocation consultation generation AI can also suggest areas that take into account the environmental awareness and ecological concerns of those considering relocating. For example, it can suggest areas with active environmental protection activities and areas with eco-friendly infrastructure. It can also suggest areas where the use of renewable energy is progressing. Furthermore, the relocation consultation generation AI can provide information on local environmental protection activities and ecology based on the environmental awareness of those considering relocating. This allows those considering relocating to select an area that suits their own environmental awareness.

[0048] The relocation consultation generation AI can also suggest areas that take into account the cultural background and language needs of those considering relocating. For example, it can suggest areas with communities that share the same cultural background. It can also suggest areas where the language spoken by the relocation candidate is spoken. Furthermore, the relocation consultation generation AI can provide information about local culture and language based on the cultural background and language needs of the relocation candidate. This allows the relocation candidate to select an area that suits their own cultural background and language needs.

[0049] The processing flow of the first embodiment will be briefly explained below.

[0050] Step 1: The relocation consultation generation AI provides answers to the questions and wishes of those considering relocating. For example, the relocation consultation generation AI provides appropriate advice and information in response to questions from those considering relocating. The relocation consultation generation AI can also provide information on relocation destinations based on the wishes of those considering relocating. It also provides information on relocation procedures and necessary documents. Step 2: The generation AI creates a script based on the answers provided by the relocation consultation generation AI. For example, the generation AI generates a script that includes the benefits of relocation, specific plans, and the attractions of the relocation destination. It can also create a scenario for those considering relocating to explain their relocation plans to their families. Furthermore, the script reflects information about the living environment and educational institutions in the relocation destination. Step 3: The video generation AI creates a personalized promotional video based on the script created by the generation AI. For example, the video generation AI generates a video that visually depicts the scenery and living environment of the relocation destination. It can also create a video that visually conveys the benefits of relocation and specific plans. It also creates a video that emphasizes the appeal of the relocation destination.

[0051] (Example 2) The relocation plan support system according to an embodiment of the present invention is a system that uses a generative AI to enable people considering relocation to concretize their relocation plans and create a personalized promotional video to persuade their families about the plans. As a result, the relocation plan support system enables people considering relocation to make specific relocation plans and effectively communicate them to their families.

[0052] The relocation plan support system according to the embodiment includes a relocation consultation generation AI, a generation AI, and a video generation AI. The relocation consultation generation AI provides answers to questions and requests from those considering relocation. For example, the relocation consultation generation AI provides appropriate advice and information in response to questions from those considering relocation. The relocation consultation generation AI can also provide information about relocation destinations based on the requests of those considering relocation. The relocation consultation generation AI can also provide information about relocation procedures and necessary documents. The generation AI creates a script based on the answers provided by the relocation consultation generation AI. For example, the generation AI generates a script including the benefits of relocation, specific plans, and the attractions of the relocation destination. The generation AI can also create a scenario for those considering relocation to explain their relocation plans to their families. The generation AI can also reflect information about the living environment and educational institutions of the relocation destination in the script. The video generation AI creates a personalized promotional video based on the script created by the generation AI. For example, the video generation AI generates a video that visually depicts the scenery and living environment of the relocation destination. The video generation AI can also create a video that visually conveys the benefits of relocation and specific plans. The video generation AI can also create videos that highlight the appeal of the relocation destination. As a result, the relocation plan support system according to the embodiment allows people considering relocation to make specific relocation plans and effectively communicate them to their families. For example, visually conveying the appeal of the relocation destination makes it easier to gain the understanding and cooperation of family members. Furthermore, understanding specific information and procedures related to relocation allows relocation plans to proceed smoothly.

[0053] The relocation consultation generation AI can learn from the past consultation history and behavioral patterns of those considering relocating, and provide more personalized advice. For example, the relocation consultation generation AI stores the past consultation content and behavioral patterns of those considering relocating in a database, and the generation AI learns from them. For example, it can provide more appropriate advice based on which areas the person was interested in in the past and what questions they asked. The relocation consultation generation AI can also analyze the behavioral patterns of those considering relocating, and provide information that is useful for selecting a relocation destination and formulating a relocation plan. The relocation consultation generation AI can also provide specific advice about relocation based on the past consultation history of those considering relocating. This allows it to provide more appropriate advice to those considering relocating.

[0054] The relocation consultation generation AI can analyze the lifestyles and values ​​of those considering relocating and make recommendations for areas based on that. For example, the relocation consultation generation AI collects information about the lifestyles and values ​​of those considering relocating through questionnaires and interviews, and then analyzes it. For example, it can recommend areas rich in nature to people who love the outdoors. The relocation consultation generation AI can also provide information that is useful for selecting a relocation destination and formulating a relocation plan based on the values ​​of those considering relocating. The relocation consultation generation AI can also provide information about the living environment and educational institutions in the relocation destination based on the lifestyle of those considering relocating. This allows it to recommend the most suitable area to those considering relocating.

[0055] The relocation consultation generation AI can use its emotion estimation function to grasp the emotional state of those considering relocating in real time and provide advice to reduce stress. For example, the relocation consultation generation AI can analyze the emotional state of those considering relocating in real time and, if stress levels are high, suggest areas and activities that will help them relax. For example, it can suggest hot springs or resort areas. The relocation consultation generation AI can also provide information that is useful for planning a relocation and selecting a relocation destination based on the emotional state of those considering relocating. The relocation consultation generation AI can also grasp the emotional state of those considering relocating in real time and provide advice to reduce stress. This reduces stress for those considering relocating and allows for more appropriate advice to be provided.

[0056] The relocation consultation generation AI can collect the opinions of all family members of a person considering relocating and propose a relocation plan that everyone can agree on. For example, the relocation consultation generation AI can conduct a survey of all family members of a person considering relocating and collect each person's opinions and wishes. For example, it can propose a relocation plan that takes into account the children's educational environment and the spouse's work environment. The relocation consultation generation AI can also provide information that is useful for planning a relocation plan and selecting a relocation destination based on the opinions of all family members. The relocation consultation generation AI can also reflect the opinions and wishes of each member in order to propose a relocation plan that everyone can agree on. This makes it possible to propose a relocation plan that everyone in the family can agree on.

[0057] The relocation consultation generation AI can support online interactions with local residents of the relocation destination and provide real-life information about the local area. For example, the relocation consultation generation AI can provide a platform for online interactions with local residents of the relocation destination, allowing those considering relocating to ask questions or seek advice directly. For example, it can provide information about the local living environment and culture. The relocation consultation generation AI can also collect real-life information about the relocation destination through online interactions with local residents and provide it to those considering relocating. The relocation consultation generation AI can also support interactions with local residents of the relocation destination, allowing those considering relocating to obtain real-life information about the local area. This allows those considering relocating to obtain real-life information about the local area.

[0058] The relocation consultation generation AI uses its emotion estimation function to analyze the emotions of family members considering relocating and can propose a relocation plan that will leave everyone feeling positive. For example, the relocation consultation generation AI can analyze the emotional state of each family member in real time and propose a relocation plan that will elicit positive emotions. For example, it can suggest areas with plenty of activities that everyone can enjoy. The relocation consultation generation AI can also provide information that is useful for planning a relocation plan and selecting a relocation destination based on the emotional state of each family member. The relocation consultation generation AI can also reflect the emotional state of each member to propose a relocation plan that will leave everyone feeling positive. This allows it to propose a relocation plan that will leave everyone feeling positive.

[0059] The generation AI can learn from the past statements and actions of those considering relocating and create a more persuasive script. For example, the generation AI stores the past statements and actions of those considering relocating in a database, and the generation AI learns from them. For example, it can create a persuasive script based on the reasons why people have considered relocating in the past. The generation AI can also analyze the behavioral patterns of those considering relocating and provide information that is useful for formulating relocation plans and selecting relocation destinations. The generation AI can also create specific scripts related to relocation based on the past statements of those considering relocating. This makes it possible to create a more persuasive script for those considering relocating.

[0060] The generation AI can create a script that incorporates the latest news and trend information for the relocation destination. For example, the generation AI can automatically collect the latest news and trend information for the relocation destination and create a script based on that information. For example, it can incorporate information on recent events and new facilities. The generation AI can also provide information that is useful for planning a relocation or selecting a relocation destination based on trend information for the relocation destination. The generation AI can also create a specific script related to relocation based on the latest news for the relocation destination. This allows the creation of a script that reflects the latest information on the relocation destination.

[0061] The generative AI can use its emotion estimation function to select words and expressions that family members can most easily relate to and reflect them in the script. For example, the generative AI can analyze the emotional state of family members in real time and select words and expressions that are easy for family members to empathize with. For example, it can include words that evoke positive emotions in the script. The generative AI can also provide information that is useful for planning a relocation and selecting a relocation destination based on the emotional state of the family members. The generative AI can also create specific scripts related to relocation based on words and expressions that family members can easily empathize with. This makes it possible to create scripts that family members can easily empathize with.

[0062] The generation AI can create multiple scripts from different scenarios and perspectives, and select the optimal script based on the family's reactions. For example, the generation AI can create multiple scripts from different scenarios and perspectives, and select the optimal script based on the family's reactions. For example, it can prepare a scenario that emphasizes economic benefits and another that emphasizes the living environment. The generation AI can also provide information that is useful for planning a relocation and selecting a relocation destination based on the family's reactions. The generation AI can also create specific scripts related to relocation based on scripts from different scenarios and perspectives. This allows the optimal script to be selected based on the family's reactions.

[0063] The generative AI can create a script that incorporates the culture and customs of the destination, allowing the family to feel familiar with the new place. For example, the generative AI can research the culture and customs of the destination and reflect them in the script. For example, it can introduce local traditional events and food culture. The generative AI can also provide information that is useful for planning a relocation and selecting a new place, based on the culture and customs of the destination. The generative AI can also create a specific script related to the relocation, based on the culture and customs of the destination. This allows the family to feel familiar with the new place.

[0064] The generative AI can use its emotion estimation function to monitor the emotional reactions of family members in real time and dynamically adjust the content of the script. For example, the generative AI can build a system that monitors the emotional reactions of family members in real time and dynamically adjusts the content of the script. For example, it can highlight parts that the family members are interested in. The generative AI can also provide information that is useful for planning a relocation or selecting a relocation destination based on the family members' emotional reactions. The generative AI can also dynamically adjust specific scripts related to relocation based on the family members' emotional reactions. This allows the content of the script to be dynamically adjusted according to the family members' emotional reactions.

[0065] Video generation AI can create videos that incorporate seasonal scenery and events at the destination, conveying the destination's appeal from multiple angles. For example, video generation AI can film seasonal scenery at the destination and incorporate it into videos. For example, it can introduce beautiful seasonal scenery such as cherry blossoms in spring and autumn leaves. Video generation AI can also film events at the destination and incorporate them into videos. For example, it can introduce local festivals and cultural events. Video generation AI can also create specific videos related to relocation based on seasonal scenery and events at the destination. This makes it possible to create videos that convey the destination's appeal from multiple angles.

[0066] Video generation AI can create personalized videos that incorporate photos and videos of the family of those considering relocating. For example, video generation AI can incorporate photos and videos of the family of those considering relocating into the video to create a personalized promotional video. For example, it can use photos and videos of family memories to help imagine life in the new destination. Video generation AI can also provide information that is useful for planning a relocation or selecting a destination based on family photos and videos. Video generation AI can also create specific videos related to relocation based on family photos and videos. This makes it possible to create personalized videos that incorporate family photos and videos.

[0067] The video generation AI can use its emotion estimation function to select the scenes and music that will move the family most and incorporate them into the video. For example, the video generation AI can analyze the emotional state of the family in real time and select the most moving scenes and music. For example, it can incorporate scenery and music that will move the family into the video. The video generation AI can also provide information that is useful for planning a relocation or selecting a relocation destination based on the emotional state of the family. The video generation AI can also create specific videos related to relocation based on the scenes and music that move the family. This allows for the creation of videos that incorporate the scenes and music that will move the family most.

[0068] Video generation AI can create videos that incorporate interviews and messages from local residents of the relocation destination, allowing it to convey the real voices of the locals. For example, video generation AI can interview local residents of the relocation destination and incorporate the content into the video. For example, it can include a scene in which local residents send a welcome message to the relocation recipients. Video generation AI can also provide information that is useful for planning relocation and selecting a relocation destination based on the interviews and messages of local residents. Video generation AI can also create specific videos related to relocation based on the interviews and messages of local residents. This makes it possible to create videos that convey the real voices of the locals.

[0069] Video generation AI can create videos introducing educational institutions and medical facilities in the relocation destination, thereby increasing a sense of security for families. For example, video generation AI can create videos introducing educational institutions and medical facilities in the relocation destination, thereby increasing a sense of security for families. For example, scenes introducing the facilities and services of schools and hospitals can be incorporated into the video. Furthermore, video generation AI can provide information useful for planning relocation and selecting a relocation destination based on introductions to educational institutions and medical facilities. Furthermore, video generation AI can create specific videos related to relocation based on introductions to educational institutions and medical facilities. This makes it possible to create videos that increase a sense of security for families.

[0070] Video generation AI can use emotion estimation functions to monitor family members' emotional reactions in real time and dynamically adjust the content of videos. For example, video generation AI can build a system that monitors family members' emotional reactions in real time and dynamically adjusts the content of videos. For example, it can highlight parts that show interest to family members. Video generation AI can also provide information that is useful for planning a relocation or selecting a relocation destination based on family members' emotional reactions. Video generation AI can also dynamically adjust specific videos related to relocation based on family members' emotional reactions. This allows the content of videos to be dynamically adjusted according to family members' emotional reactions.

[0071] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0072] The relocation consultation generation AI can also suggest areas that take into account the health condition and medical needs of those considering relocating. For example, it can suggest areas with fewer allergens for people with specific allergies. It can also suggest areas with a good number of medical facilities for people with chronic diseases. Furthermore, the relocation consultation generation AI can provide information on the health impact of the climate and environment of the relocation destination based on the health condition of the person considering relocating. This allows people considering relocating to select the area that best suits their health condition.

[0073] The relocation consultation generation AI can also suggest areas that take into account the hobbies and interests of those considering relocating. For example, for those who like outdoor activities, it can suggest areas where they can enjoy hiking and camping. For those who are interested in culture and the arts, it can also suggest areas with many art museums and theaters. Furthermore, the relocation consultation generation AI can provide information about local events and activities based on the hobbies and interests of those considering relocating. This allows those considering relocating to select an area that suits their hobbies and interests.

[0074] The relocation consultation generation AI can use its emotion estimation function to identify the anxieties and concerns of those considering relocating and propose solutions to them. For example, if there is high anxiety about relocating, it can provide information about the safety and security of the relocation destination. Also, if there are financial concerns about relocating, it can provide information about living expenses and sources of income. Furthermore, based on the anxieties and concerns of those considering relocating, the relocation consultation generation AI can provide information that is useful for planning relocation and selecting a relocation destination. This can alleviate the anxieties and concerns of those considering relocating and provide more appropriate advice.

[0075] The relocation consultation generation AI can also suggest areas that take into account the needs of potential relocators' pets. For example, it can suggest areas with many pet-friendly parks and facilities. It can also suggest areas with a good number of veterinary clinics that can easily manage pet health. Furthermore, the relocation consultation generation AI can provide information about pet-friendly housing and environments based on the needs of potential relocators' pets. This allows potential relocators to select areas where they can live comfortably with their pets.

[0076] The relocation consultation generation AI uses its emotion estimation function to analyze the emotions of family members considering relocating, and can propose a relocation plan that will give peace of mind to the entire family. For example, if there are concerns about the educational environment for children, it can suggest areas with excellent educational institutions. Or, if there are concerns about health care for the elderly, it can suggest areas with good medical facilities. Furthermore, the relocation consultation generation AI can provide information that is useful for planning a relocation and selecting a relocation destination based on the emotional state of each family member. This allows it to propose a relocation plan that will give peace of mind to the entire family.

[0077] The relocation consultation generation AI can also suggest regions that take into account the career and occupational needs of those considering relocation. For example, it can suggest regions that are strong in specific industries or occupations. It can also suggest regions with infrastructure that facilitates remote work. Furthermore, the relocation consultation generation AI can provide information about regional employment opportunities and business environments based on the career and occupational needs of those considering relocation. This allows those considering relocation to select the region that best suits their career and occupation.

[0078] The relocation consultation generation AI uses its emotion estimation function to analyze the emotions of family members considering relocating and can suggest activities that the whole family can enjoy. For example, it can suggest areas with sports and leisure facilities that the whole family can enjoy. It can also suggest areas with an abundance of culture and events that interest all family members. Furthermore, the relocation consultation generation AI can provide information that is useful for planning a relocation and selecting a destination based on the emotional state of each family member. This allows it to suggest a relocation plan that the whole family can enjoy.

[0079] The relocation consultation generation AI can also suggest areas that take into account the environmental awareness and ecological concerns of those considering relocating. For example, it can suggest areas with active environmental protection activities and areas with eco-friendly infrastructure. It can also suggest areas where the use of renewable energy is progressing. Furthermore, the relocation consultation generation AI can provide information on local environmental protection activities and ecology based on the environmental awareness of those considering relocating. This allows those considering relocating to select an area that suits their own environmental awareness.

[0080] The relocation consultation generation AI uses its emotion estimation function to analyze the emotions of family members considering relocating, and can propose a relocation plan that will allow the whole family to relax. For example, it can suggest areas with abundant nature and quiet environments. It can also suggest relaxing hot springs and resort areas. Furthermore, the relocation consultation generation AI can provide information that will be useful for planning a relocation and selecting a relocation destination based on the emotional state of each family member. This allows it to propose a relocation plan that will allow the whole family to relax.

[0081] The relocation consultation generation AI can also suggest areas that take into account the cultural background and language needs of those considering relocating. For example, it can suggest areas with communities that share the same cultural background. It can also suggest areas where the language spoken by the relocation candidate is spoken. Furthermore, the relocation consultation generation AI can provide information about local culture and language based on the cultural background and language needs of the relocation candidate. This allows the relocation candidate to select an area that suits their own cultural background and language needs.

[0082] The processing flow of the second embodiment will be briefly explained below.

[0083] Step 1: The relocation consultation generation AI provides answers to the questions and wishes of those considering relocating. For example, the relocation consultation generation AI provides appropriate advice and information in response to questions from those considering relocating. The relocation consultation generation AI can also provide information on relocation destinations based on the wishes of those considering relocating. It also provides information on relocation procedures and necessary documents. Step 2: The generation AI creates a script based on the answers provided by the relocation consultation generation AI. For example, the generation AI generates a script that includes the benefits of relocation, specific plans, and the attractions of the relocation destination. It can also create a scenario for those considering relocating to explain their relocation plans to their families. Furthermore, the script reflects information about the living environment and educational institutions in the relocation destination. Step 3: The video generation AI creates a personalized promotional video based on the script created by the generation AI. For example, the video generation AI generates a video that visually depicts the scenery and living environment of the relocation destination. It can also create a video that visually conveys the benefits of relocation and specific plans. It also creates a video that emphasizes the appeal of the relocation destination.

[0084] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0085] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0086] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0087] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0088] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0089] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0090] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0091] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0092] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0093] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0094] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0095] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0096] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0097] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0098] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0099] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0100] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0101] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0102] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0103] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0104] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0105] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0106] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0107] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0108] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0109] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0110] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0111] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0112] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0113] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0114] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0115] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0116] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0117] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0118] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0119] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0120] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0121] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0122] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0123] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0124] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0125] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0126] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0127] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0128] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0129] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0130] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0131] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0132] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0133] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0134] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0135] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0136] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0137] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0138] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0139] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0140] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0141] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0142] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0143] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0144] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0145] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0146] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0147] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0148] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0149] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0150] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0151] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. Immigration consultation generation AI that provides answers to questions and requests from people considering relocating, A generation AI that creates a script based on the answers provided by the migration consultation generation AI; A video generation AI that creates a personalized PR video based on the script created by the generation AI. A system characterized by:

2. The migration consultation generation AI is Learn about the past consultation history and behavioral patterns of those considering relocating to provide more personalized advice 2. The system of claim 1.

3. The migration consultation generation AI is Collect the opinions of all family members of the person considering relocating and propose a relocation plan that everyone can agree on.

2. The system of claim 1.

4. The generated AI is Learn from the past statements and actions of those considering relocating and create a more persuasive script 2. The system of claim 1.

5. The video generation AI is Create videos that incorporate seasonal scenery and events at the destination, and convey the appeal of the destination from multiple angles.

2. The system of claim 1.

6. The migration consultation generation AI is Gain a real-time understanding of the emotional state of those considering relocating and provide advice to reduce stress 2. The system of claim 1.

7. The generated AI is Select words and expressions that the family can most easily relate to and reflect them in the script.

2. The system of claim 1.

8. The video generation AI is Monitor the emotional reactions of family members in real time and dynamically adjust the content of the video.

2. The system of claim 1.

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